Yaron Singer

My most recent work has been focused on optimization from sampled data and noise-robust approximation and machine learning algorithms. More broadly my interests include machine learning, approximation algorithms, optimization, information networks, game theory, and mechanism design. For more information see my publications.

My work is generously supported by an NSF CAREER Award, a Sloan Foundation Fellowship, Google Faculty Research Award, Facebook Faculty Award, NSF grant, DARPA, and a BSF grant. As a graduate student, I received the Microsoft Research fellowship and the Facebook fellowship.